{"id":"W3186877078","doi":"10.3390/jpm11080736","title":"Of Screening, Stratification, and Scores","year":2021,"lang":"en","type":"review","venue":"Journal of Personalized Medicine","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Genome Canada","keywords":"Risk stratification; Population stratification; Risk assessment; Stratification (seeds); Health care; Actuarial science; Risk analysis (engineering); Medicine; Environmental health; Computer science; Business; Economics; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006826492,0.001285402,0.002131518,0.005333491,0.0004512244,0.002938416,0.001825917,0.002036753,0.004990479],"category_scores_gemma":[0.01406735,0.0006067132,0.001470556,0.003648414,0.002673198,0.003447509,0.001551482,0.003845894,0.001775641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002372081,"about_ca_system_score_gemma":0.004397018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004753727,"about_ca_topic_score_gemma":0.005830495,"domain_scores_codex":[0.9957817,0.001981828,0.0005342375,0.0003693815,0.00120226,0.0001307438],"domain_scores_gemma":[0.9943639,0.004065887,0.0004547168,0.0002520893,0.0007233877,0.0001400174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005797003,0.00004687778,0.000533869,0.01894102,0.0002608488,0.00006201981,0.0001930032,0.0003480153,0.0001226715,0.0394467,0.03624142,0.9037457],"study_design_scores_gemma":[0.00003211029,0.000106552,0.00183776,0.02844205,0.0002894999,0.0008748955,0.0002030854,0.0002359371,0.0001883345,0.0259494,0.9418024,0.00003794368],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001434567,0.9911662,0.001488283,0.002658444,0.0007738384,0.00005446967,0.00006885985,0.00002276814,0.00362371],"genre_scores_gemma":[0.003591576,0.9874505,0.00370969,0.002371354,0.0008514647,0.0001213755,0.0001144621,0.00001560397,0.001773983],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006826492,"threshold_uncertainty_score":0.03610235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2146322150358664,"score_gpt":0.450312127934288,"score_spread":0.2356799128984216,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}